Reference : Thermodynamically constrained averaging theory for cancer growth modelling
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Engineering, computing & technology : Multidisciplinary, general & others
Systems Biomedicine; Computational Sciences
http://hdl.handle.net/10993/29548
Thermodynamically constrained averaging theory for cancer growth modelling
English
Albrecht, Marco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Sciumè, Giuseppe mailto [University of Bordeaux I2M-TREFLE, Talence Cedex, 33405 France]
Lucarelli, Philippe mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
12-Oct-2016
IFAC-PapersOnLine
Elsevier
49
26
289-294
Yes (verified by ORBilu)
International
24058963
Magdeburg
Germany
[en] Systems Biology
[en] In Systems Biology, network models are often used to describe intracellular mechanisms at the cellular level. The obtained results are difficult to translate into three-dimensional biological systems of higher order. The multiplicity and time dependency of cellular system boundaries, mechanical phenomena and spatial concentration gradients affect the intercellular relations and communication of biochemical networks. These environmental effects can be integrated with our promising cancer modelling environment, that is based on thermodynamically constrained averaging theory (TCAT). Especially, the TCAT parameter viscosity can be used as critical player in tumour evolution. Strong cell-cell contacts and a high degree of differentiation make cancer cells viscous and support compact tumour growth with high tumour cell density and accompanied displacement of the extracellular material. In contrast, dedifferentiation and losing of cell-cell contacts make cancer cells more fluid and lead to an infiltrating tumour growth behaviour without resistance due to the ECM. The fast expanding tumour front of the invasive type consumes oxygen and the limited oxygen availability behind the invasive front results automatically in a much smaller average tumour cell density in the tumour core. The proposed modelling technique is most suitable for tumour growth phenomena in stiff tissues like skin or bone with high content of extracellular matrix.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/29548
also: http://hdl.handle.net/10993/29803
10.1016/j.ifacol.2016.12.141
http://www.sciencedirect.com/science/article/pii/S240589631632804X
H2020 ; 642295 - MEL-PLEX - Exploiting MELanoma disease comPLEXity to address European research training needs in translational cancer systems biology and cancer systems medicine
FnR ; FNR7643621 > Thomas Sauter > Melanoma sensitivity > Predicting individual sensitivity of malignant melanoma to combination therapies by statistical and network modeling on innovative 3D organotypic screening models > 01/05/2015 > 30/04/2018 > 2013

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